AI-Powered College Enquiry Chatbot Using NLP with BERT and GPT

Authors: Dipak Mandlik, Roshan Chaudhary, Mayur Kotkar, Rushikesh Zende, R. S. Bhosale

Country: India

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Abstract: The project is designed to streamline the process of answering queries related to college information through an intelligent chat bot system. There are two types of users for the system: Admin and User. The Admin is responsible for managing the system through login credentials, adding relevant questions and their respective answers, and overseeing the model creation process, which involves dataset training. On the other hand, Users can register and log in to interact with the chat bot. They can ask questions either through voice or text, and the chat bot processes these queries to generate accurate responses. The backend of the system is powered by advanced Natural Language Processing (NLP) techniques, utilizing the BERT algorithm for question understanding and GPT algorithm for generating coherent and accurate responses. The chat bot aims to provide a user-friendly interface for prospective students and parents seeking information about college-related matters.

Keywords: Intelligent chat bot system, College information, Admin and User roles, Dataset training Natural Language Processing (NLP), BERT algorithm

Paper Id: 232404

Published On: 2025-04-22

Published In: Volume 13, Issue 2, March-April 2025

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